Data Scientist, Senior

Booz Allen Hamilton•Arlington, VA

1d•$99,000 - $225,000

About The Position

Data Scientist, Senior The Opportunity: As an analytics professional, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. If you care about moving a mission forward as much as advancing the field of data science, this is the opportunity for you. Your deep analytics and machine learning expertise and consulting mindset, coupled with an original approach to your work, will help clients and stakeholders make sense of their data and encourage actionable results. We’re looking for someone like you to lead complex data exploration and analytics projects through your experience with Python and AI/ML for the Department of Defense. As an advanced data scientist on our Navy team, you’ll learn and apply innovative data analytic methodologies to make a real-world impact on the development of decision support tools. You’ll grow your skills in data science, AI, and bibliometrics. You’ll shape the future of analytics through innovative portfolio analysis and decision support tooling in DoD environments. We’ll keep you sharp and moving forward in your career, with access to online courses, communities of practice, and opportunities to publish or present at conferences. Whether you’re using AI to improve government efficiency or support the development of defense capabilities, you’ll guide a team that serves critical missions from end to end. Join us. The world can’t wait.

Requirements

5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
5+ years of experience with statistical and general-purpose programming languages for data analysis and analyzing structured and unstructured data sources
Experience developing predictive data models, quantitative analyses, object-oriented programming, and visualization of targeted data sources
Experience clustering and topic modeling, automated query generation, implementation of Generative AI and Large Language Models, natural language processing of unstructured data, entity disambiguation, network analysis, bibliometric and citation analysis, econometric analysis, relationship extraction, or Science and Technology forecasting
Experience in data science tool development, ETL data pipeline development, and Python
Experience devising and managing AI, ML, and GenAI based projects aligned to business needs
Ability to cross-validate models to ensure their generalizability
Secret clearance
Bachelor’s degree in Computer Science, Data Science, Computer Engineering, or Statistics
CompTIA Security+ CE, Unix +, or AWS Solutions Architect Certification

Nice To Haves

Experience in the development of algorithms leveraging R, Python, SQL, or NoSQL
Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
Experience with visualization packages, including Plotly, Seaborn, or ggplot2
Experience coordinating a workstream and managing tasks
Experience in data science with a focus on Science and Technology programs